This project involves the implementation and
development of some visual computing applications. You can choose any
project from the list provided below. You are also welcome to propose a
project, which must be approved by the instructor.

a. The goal of this project is to develop a panoramic image
synthesis system. You can either implement the basic stitching algorithm in
[1] or use the algorithms/APIs implemented in OpenCV. (35
points)b. Experiment with at least two image blending algorithms, such as
those provided by OpenCV (10 points) c. Implement the panorama
straightenng algorithm in [1] or come up with your own way to straighten a
panorama (10 points) d. In-class presentation (0-10 points)e. Project report (0-20
points)f. Extra points: 15 points if a mobile App is developed.

The high-frame-rate movies, like those 48 fps ones, begin to attract interest
these recent years. Most of existing movies, however, are shot at 24 fps. The
goal of this project is to convert a 24 fps video to a 48 fps one. Specifically,
we need to interpolate one frame between any two consecutive frames in the
original 24 fps video. You can design your own algorithm or implement any paper
that you find. The basic idea is to estimate the optical flow between two
consecutive frames and generate the middle frame using the flow.

This project needs to
develop a system that can automatically detect a face from an input image and
recognize the face. A wide variety of algorithms and codes are available for
face detection and recognition. You can use all the online code.

This project needs to
develop a system that can automatically detect a moving pedestrian and vehicle
from a traffic surveillance video. You can implement the system or download
the code available online.

Step 1: Present your project in class on 03/13/2017 or 03/15/2017. Pick up
a presentation slot for yourselves
here (will be available later on). Your presentation should last 5 minutes in total, including a
1 minute Q&A session.Step
2: Upload your project report, code, and testing data onto a web server
and send the instructor the link before 5 pm on 03/17/2017. In the project
report, you need to clearly describe the algorithms you implemented and
demonstrate the inputs and outputs. Late
submission policy:

Late submission/project grading will
be accepted until 5pm 03/19/2017. But it will be penalized according to
the following equation: G=G0*(1-n*0.05/24), where n is the number of
hours delayed, G0 is the raw score, and G is your final score.